Todd Maddox delves into the Neuroscience behind immersive technologies’ unique ability to make us experience things from another person’s perspective.

Merriam-Webster defines empathy as “the action of understanding, being aware of, being sensitive to, and vicariously experiencing the feelings, thoughts, and experience of another…without having these fully communicated in an objectively explicit manner.”

Any profession that requires interpersonal interaction, such as education, retail, food service, and call centers, is better served with strong empathy
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That is a lot to unpack, but it is clear that empathy is about much more than an explicit cognitive understanding of someone’s situation. It is more about an emotional, experiential and visceral understanding as if you have “walked a mile in someone else’s shoes” and have shared their experiences. Empathy also shows in one’s behavior. An empathetic individual uses open body language and a verbal tone that shows genuine behavioral intent. Empathy is something that you can see in another’s action.

An empathetic individual uses open body language and a verbal tone that shows genuine behavioral intent
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In this report, I review the psychology and neuroscience of learning and show that virtual reality (VR) has the potential to build empathy in individuals. As outlined above, this requires training at an emotional, experiential and behavioral level, not just at a cognitive level. Empathy building is facilitated by immersive experiences that are rich in context and emotion and allow one to “walk a mile in someone else’s shoes”. As I show below, VR meets these challenges.

Empathy is something that you can see in another’s action
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Empathy is important in life and in many professions, and it is especially important in professions that help people in need or people under duress. For example, empathy is critical in healthcare, social work, senior care, and law enforcement, to name a few. In fact, any profession that requires interpersonal interaction, such as education, retail, food service, and call centers, is better served with individuals having strong empathy. Anytime someone could “use a friend”, “someone to listen”, or “someone to care and connect with”, empathy is a must.

Although there is likely some genetic component to empathy, as there is with so many things, many believe that it can be trained
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Some people seem to naturally have empathy, and others seem not to. Although there is likely some genetic component to empathy, as there is with so many things, many believe that empathy can be trained. Empathy training is clearly challenging though because this is not a skill that requires a simple cognitive understanding. Rather, empathy is an emotional skill that requires shared experience in the sense that one can “walk a mile in someone else’s shoes, and can behave accordingly.

Empathy training is about training a person, and every person’s actions are directed by their brain. Thus, to understand how to effectively train empathy, one must understand the psychology and neuroscience of learning.

“Learning is an experience. Everything else is just information”

Albert Einstein

This is an insightful quote from Albert Einstein that is supported by the neuroscience of learning and is especially relevant to empathy training.

As outlined in the figure below, the human brain is comprised of at least four distinct learning systems. As Einstein so eloquently stated, experience is at the heart of learning. The experiential system has evolved to represent the sensory aspects of an experience, whether visual, auditory, tactile or olfactory. Every experience is unique, adds rich context to the learning and is immersive. The critical brain regions associated with experiential learning are the occipital lobes (sight), temporal lobes (sound), and parietal lobes (touch/smell). Experiential learning is especially important when it comes to empathy. The more one can vicariously experience the feelings, thoughts, and experiences of another, the more empathetic they will become. If one can literally “walk a mile in someone else’s shoes” they get this vicarious experience.

Empathy building is facilitated by immersive experiences rich in context and emotion that allow one to walk a mile in someone else’s shoes
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One can experience a situation from any vantage point; Providing empathy, watching another provide empathy or receiving empathy
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The cognitive system is the information system. It processes and stores knowledge and facts using working memory and attention. Critically, these are limited resources and form a bottleneck that slows learning with more information coming in and available to the learner (the green arrows) than can be processed (the red arrow). This system encompasses the prefrontal cortex and hippocampus. This is the “everything else” aspect of learning that Einstein alluded to. With respect to empathy, this might involve memorizing the Merriam-Webster definition, knowing explicitly that eye contact is important, or that it is important to be understanding.

The behavioral system in the brain has evolved to learn motor skills. This is an amazing system and one that builds the “muscle memory” that drives empathetic behaviors. The detailed processing characteristics of this system are fascinating but are beyond the scope of this report. Suffice it to say that the critical brain structure for behavioral learning is the striatum, and processing in the striatum is optimized when behavior is interactive and is followed in real-time (literally within milliseconds) by corrective feedback. Behaviors that are rewarded lead to dopamine release into the striatum that incrementally increases the likelihood of eliciting that behavior again in the same context.

emotional learning, when combined with context-rich experiences, builds rich repertoires of empathetic understanding and behavior
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Behaviors that are punished do not lead to dopamine release into the striatum thus incrementally decreasing the likelihood of eliciting that behavior again in the same context. This system links rich experiential contexts (represented by the experiential learning system) and emotions with the appropriate behavioral responses. It is one thing to know the definition of empathy, to know that eye contact is important, and to know that you need to show understanding, but it is completely different (and mediated by different systems in the brain) to know how to show empathy with eye contact and behaviors that demonstrate true understanding.

The more one can vicariously experience the feelings, thoughts, and experiences of another, the more empathetic they will become
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More than anything, it is the emotional learning system in the brain that builds the interpersonal understanding, awareness, and sensitivity that are at the heart of empathy and an understanding of our and others’ behaviors. The critical brain regions are the amygdala and other limbic structures. The detailed processing characteristics of this system are less well understood than the cognitive and behavioral skills learning systems, but emotional learning, when combined with context-rich experiences, builds rich repertoires of empathetic understanding and behavior.

The emotional learning system in the brain builds the interpersonal understanding, awareness, and sensitivity that are at the heart of empathy and an understanding of our and others’ behaviors
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It should be clear from this brief review of the psychology and neuroscience of learning, that training empathy is a challenge. Memorizing definitions, and an explicit cognitive understanding of empathy is not sufficient. Watching video of examples of empathetic and non-empathetic behavior is better, but even these do not represent immersive, context-rich experiences that elicit strong emotions. Empathy simulation and role-play training offer a step in the right direction because they are interactive, involve emotion-laden situations and behavior, but even here it is often difficult to suspend the reality of who you are and who your role-playing partner might be. In addition, people differ in their willingness and ability to role play. Finally, simulation and role play are time-consuming, costly, and not scalable.

This is where VR comes in. VR is time- and cost-effective, and is scalable. One can experience numerous VR scenarios and can repeat them as many times as one likes. VR has the potential to build the empathy that is so desperately needed.

VR is time- and cost-effective, and is scalable
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One can experience numerous VR scenarios and can repeat them as many times as one likes
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Consider a healthcare setting and a nurse-in-training. As any seasoned nurse will tell you, the classroom does a good job of training the technical aspects of the job, but not the interpersonal. However, suppose this nurse-in-training was given empathy training in VR, along with their traditional classroom training. Using VR, this nurse-in-training might be transported into the middle of a busy emergency room and shadow a seasoned nurse explaining a patient’s condition to their distraught spouse. Using voice-over, the seasoned nurse might explain how they are showing empathy to soothe the concerns of the spouse. The nurse-in-training is in the situation and can feel the emotions. They can combine the information provided by the seasoned nurse with the behaviors they are observing, all within an emotion-laden, realistic experience.

A nurse-in-training might be transported into the body of a patient just coming out of anesthesia following surgery
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This engages multiple learning systems in synchrony and will build empathy quickly and effectively. Analogously, the nurse-in-training might be transported into the body of a patient just coming out of anesthesia following surgery. They might experience one situation in which their nurse shows strong empathy and another situation in which their nurse does not. These behaviors are being directed at the nurse-in-training, while they embody a patient. This “walk a mile in my shoes” experience offers the first-person perspective that one needs to build empathy.

VR has the potential to build the empathy that is so desperately needed
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One can imagine similar VR empathy building scenarios for social workers, senior care professionals, law enforcement, retail, food service, and education to name just a few.

VR is immersive, and with high-quality content, one can experience almost any empathy-building situation. The experiential learning systems will be highly engaged and the learner will have a sense of presence. One can experience a situation from any vantage point, whether the one providing empathy, one watching another provide empathy or the receiver of empathy. Thus, one can obtain an emotional understanding from multiple perspectives. A cognitive understanding can emerge, but it is a byproduct and not the primary avenue of training. Emotion-laden experiential learning builds a deep emotional understanding of empathy, while simultaneously building a strong repertoire of empathy-related behaviors.

VR is immersive, and with high-quality content, one can experience almost any empathy-building situation
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For companies looking to get into Immersive technologies such as VR/AR/MR/XR our Virtual Reality Consultancy services offer guidance and support on how best to incorporate these into your brand strategy.

Todd Maddox is Science, Sports and Training Correspondent at Tech Trends, and the CEO of Cognitive Design and Statistical Consulting. Follow him on Twitter @wtoddmaddox

The post Report: VR as an Empathy Builder appeared first on Tech Trends.

Even in an Antarctic research ship, ninja tech skills can come in handy, as one software engineer found in the trip of a lifetime.

A research trip around the Antarctic gave a Software Engineer Carles Pina i Estany a new perspective on how the very product he helped build was being used by scientists. Aboard a research vessel thousands of miles from shore and the nearest reliable internet connection, these modern explorers routinely relied on Mendeley to do their work, even in subzero temperatures.

A research trip around the Antarctic gave a Software Engineer Carles Pina i Estany a new perspective on how the very product he helped build was being used by scientists
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The opportunity to take part in this unique expedition came when Carles’ partner, Jen Thomas, was invited to become Data Manager on a a research trip led by the newly created Swiss Polar Institute, which has a mission to connect researchers active in polar or extreme environments, promotes public awareness of these environments, and facilitates access to research facilities in those extreme environments. As they were short of an IT person and Carles was already on a sabbatical from his work at Elsevier – during which he had already planned to travel around the world – he seized the opportunity to fulfill a longstanding ambition to take part in a polar expedition.

Aboard a research vessel thousands of miles from shore, modern explorers rely on technology to do their work in subzero temperatures
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Carles joined the Mendeley team as a developer in June 2009, back when the start-up consisted of about a dozen people working in a small office near Farringdon, a historic section of London. Four years later, the company he helped build was acquired by Elsevier. Carles, along with the founders and the now much larger team, stayed on through the transition. Now he’s a Senior Software engineer.

I first met Carles when I was also part of the Mendeley team back in 2013-15 and saw how resourceful and creative he and his colleagues were with technology (specially during the monthly hack days he helped organise). I also knew he had a penchant for adventure, as many a fascinating tale was told by the espresso machine at our old White Bear Yard office when he returned from trips to places like China and Africa.

Carles joined the Mendeley team as a developer in June 2009, back when the start-up consisted of about a dozen people working in a small office near Farringdon
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So I wasn’t exactly surprised when I learned that he had taken this rather adventurous sabbatical as IT Systems Engineer aboard the Akademik Tryoshnikov research vessel on an ambitious Antarctic circumnavigation via Cape Town, South Africa, Hobart, Tasmania and Punta Arenas, Chile.

When he returned to London and his work at Mendeley — now in the Alphabeta building in London’s Tech City — I caught up with him to find out more about the trip. As it turns out, the experience had been an eye-opener about how important the work he had done for all those years has helped to advance science. Seeing the sometimes unexpected ways researchers in this Antarctic expedition used tools like Mendeley left him with a sense of renewed appreciation for how his own work has played a part in enabling scientific research.

The opportunity to take part in this unique expedition came when Carles’ partner, Jen Thomas, was invited to become Data Manager on a a research trip led by the newly created Swiss Polar Institute, which has a mission to connect researchers active in polar or extreme environments, promotes public awareness of these environments, and facilitates access to research facilities in those extreme environments. As they were short of an IT person and Carles was already on a sabbatical from his work at Elsevier – during which he had already planned to travel around the world – he seized the opportunity to fulfill a longstanding ambition to take part in a polar expedition.

Carles joined the Mendeley team as a developer in June 2009, back when the start-up consisted of about a dozen people working in a small office near Farringdon, a historic section of London. Four years later, the company he helped build was acquired by Elsevier. Carles, along with the founders and the now much larger team, stayed on through the transition. Now he’s a Senior Software engineer.

I first met Carles when I was also part of the Mendeley team back in 2013-15 and saw how resourceful and creative he and his colleagues were with technology (specially during the monthly hack days he helped organise). I also knew he had a penchant for adventure, as many a fascinating tale was told by the espresso machine at our old White Bear Yard office when he returned from trips to places like China and Africa.

So I wasn’t exactly surprised when I learned that he had taken this rather adventurous sabbatical as IT Systems Engineer aboard the Akademik Tryoshnikov research vessel on an ambitious Antarctic circumnavigation via Cape Town, South Africa, Hobart, Tasmania and Punta Arenas, Chile.

When he returned to London and his work at Mendeley — now in the Alphabeta building in London’s Tech City — I caught up with him to find out more about the trip. As it turns out, the experience had been an eye-opener about how important the work he had done for all those years has helped to advance science. Seeing the sometimes unexpected ways researchers in this Antarctic expedition used tools like Mendeley left him with a sense of renewed appreciation for how his own work has played a part in enabling scientific research.

Here, Carles talks about those experiences and shares the photos he and Jen took during the voyage. (He explained that they were not allowed to go on deck or outside when the weather was rough, so all of the pictures are in calm weather.)

What was this expedition about, and what role did you actually have in it?

I was the software engineer on board the ACE expedition, which had 22 cross-disciplinary teams of scientists, about 150 researchers in all, who changed around at various stages of the expedition, each of which lasted about a month. Some were PhD students, some veterans of many expeditions with many years of experience, so it was a real mix.

Carles Pina i Estany diagnoses a broken hard disk. (Photo by Jen Thomas)

On the ship, each team set their own equipment up for their labs. Quite often these pieces of equipment are either connected to a computer or have a computer built into them already, to collect data and operate a machine, for example. I’d help them with things such as backing up data and any other issues that came up with those computers. I learnt a lot about oceanography and had to think on my feet because of the limited resources. Think of programming almost off-line for four months! No Google, Stack Overflow or any documentation besides the off-line versions.

Were many of those scientists using Mendeley, and how did you find them?

I knew that many of them would be Mendeley users. I do like talking to users and finding out how they use Mendeley (specially Mendeley Desktop, since that is the part of it I’ve been most involved in for many years). As they explain to me their favourite features and tell me what they would add, I can often point out useful features in the product that they are missing out on. Sometimes the features they ask for are already there, so I love helping them discover these.

 

Personally though, I like meeting users because what I do every day is for them, and it reminds me that there are humans using the software and that they have feelings. So if the software works well they love it, but they can also hate it if it ends up causing them stress, makes them lose work, miss a deadline for writing a paper or a thesis… At the end of the day, it’s very emotional and personal work, and it helps to keep that into perspective, even when you’re deep in the code. I like it when I can put faces to our users – I think in terms of “this user does this” rather than “just 23 percent of our users do this.”

How did the researchers react when they learned about your background?

Sometimes I’d get talking to them, and as I explained that this was my “year off” from my job working on the Mendeley Desktop team, their first reaction was that it was pretty intense for a year off. But the second one was that often they would say, “Oh, Mendeley Desktop – I love it! Ah, OK, OK, do whatever you want with this equipment!” So I ended up getting extra leeway for doing things around the ship because they liked and trusted Mendeley (and therefore me).

If I worked on some unrelated industry that they didn’t know about, they would have been more reluctant to let me change things around, I believe. They were really happy that I came from a place where I actually understood part of their work, what they actually do, etc. But I have to say that after this trip I now know waaaaaaaaaaaaay more than before!

An iceberg near Mount Siple in February. (Photo by Jen Thomas)

Were there any awkward moments?

One user was scared about the fact that Mendeley had been acquired by Elsevier, so we had a long talk about how Mendeley was publisher agnostic, and how that could still work in the Elsevier business model. Many users came up with long lists of ideas. Some of them turned out to be things that we already had tools for – deduplication, for example – but sometimes there were things that we could do, or that we hadn’t considered. I always encouraged them to tell me about these so I could either email them to the Desktop team back in London or consider them once I got back – which I have!

Did you get any surprising product insights during your time on the ship?

We were mostly working from the “expedition office,” where we had two “hot desks,” so lots of different people were coming and going to do their printing, use the intranet, send something over the Internet, etc. One of my favourite things to do was spot whether they were using Mendeley Desktop, and if they were, I’d sometimes ask if they liked it or not before confessing that I’d actually done part of that. I felt a bit like a “mystery shopper” or perhaps an undercover “Mendeley investigator.”

 

One really amazing thing for me was seeing how Mendeley Desktop was being used offline during the expedition because the Internet connection was almost non-existent (we only had a limited satellite link, but this was only for email and data, not normal use). It was good to see that users really appreciated that they could carry on accessing all their notes and information easily even when there was no Internet connection.

One of the researchers said to me (and I think he was only half joking) that usually he did not use Mendeley himself because he was a professor now, and “that’s the reason why I have assistants –they use it for me!” I thought, well, maybe that’s one of the reasons that some of our users stop using Mendeley – they become professors!

 

Some days, when I was feeling like talking to more researchers about Mendeley, I’d just put on my Mendeley T-shirt, and that would soon get some conversations started.

King penguins in South Georgia in March (Photo by Carles Pina i Estany)

My favourite day was when four of us were having dinner round a table – myself, my partner Jen, who was the expedition’s Data Manager, one researcher who already knew I worked at Mendeley, and one who didn’t.

The one that didn’t know where I was from saw the T-shirt and started saying, “OH WOW! MENDELEY! I LOVE MENDELEY! I use it every day! It’s fantastic! I added all my papers, I can find them, cite them, share. I really like how it’s done and what it can do! It’s AWESOME!”

So I was sitting there blushing, until she asked me where I got the t-shirt, and when I told her I worked at Mendeley, she actually jumped up and went “WHAAAAAAAAAAT??!!! YOU WORK AT MENDELEY?!?! It’s best thing ever!!!!”

As I said, it can be an emotional thing for researchers, and it sometimes feels good to be reminded of that.”

This article was originally published on Elsevier Connect

Antarctic exploration in the digital agehttps://t.co/EAkPBDwQya (w/ @mendeley_com) pic.twitter.com/Lmz0MrMvGa

— Elsevier (@ElsevierConnect) January 16, 2018

Alice Bonasio is a VR Consultant and Tech Trends’ Editor in Chief. She also regularly writes for Fast Company, Ars Technica, Quartz, Wired and others. Connect with her on LinkedIn and follow @alicebonasio on Twitter.

The post When Polar Exploration Gets Techy appeared first on Tech Trends.

A Silicon Valley museum is using Augmented Reality to put a tech spin on the Body Worlds concept.

Earlier this month the Tech Museum of Innovation opened a groundbreaking new exhibit to the public. Body Worlds Decoded was unveiled on October 15^th, 2017 and is set for an unprecedented 10-year run featuring bodies and specimens preserved by Dr. Gunther von Hagens’ Institute for Plastination, which created the iconic Body Worlds exhibitions to help people better understand the human body and its functions.

This is a tech twist on the iconic Body Worlds concept
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The experience uses Augmented Reality and other emerging technologies
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Funded by Silicon Valley philanthropists Ann and John Doerr, the experience uses Augmented Reality and other emerging technologies to put a Silicon Valley spin on the Body Worlds concept. In the exhibit, displays of real human bodies — eight full-body plastinates and more than 60 individual specimens —help visitors explore anatomy in a whole new way, from the smallest organs to the most complex systems, including nervous, respiratory, cardiovascular, urinary, reproductive, digestive and locomotive.

“Body Worlds Decoded is an experience like no other, and it is only fitting that this blending of nature and technology should be celebrated in Silicon Valley,” said John Doerr, the chairman of Kleiner Perkins who with his wife Ann is contributing $5 million to The Tech to make the exhibit possible. “Ann and I are thrilled to help bring this experience to life, and it is our dream that it will inspire youth and contribute to a greater understanding of the life sciences.”

In partnership with the Institute for the Future (IFTF ), the San Jose-based museum created a custom AR system called Iris that allows visitors to view and interact with immersive graphics, 3D models and virtual objects including a heart, eyeball, digestive tract and skull.

In partnership with the Institute for the Future the museum created a custom AR system
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Much like some of the anatomy applications already being deployed on devices such as the Microsoft HoloLens, this technology allows users to walk all the way around a beating heart as if it were floating in front of them, or wander around inside an eyeball, getting up-close and personal with an optical nerve if they so wish.

You can walk all the way around a beating heart
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Iris uses ARtifactor — content authoring and management software developed by IFTF — and runs on the Lenovo Phab 2 Pro, a Google Tango-enabled mobile device. The museum also plans on adding further content such as 3D models and animations to the 5,000-square-foot exhibition, so visitors will always have something new to discover.

AR will transform how we interpret our world and approach education
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“This is the future of museums —  AR is about to transform how we interpret our world and how we approach education,” said Toshi Anders Hoo, lead AR consultant and director of the Institute for the Future’s Emerging Media Lab. “The Tech has emerged as a leader in the exciting AR movement, offering a whole new world of immersive technology that will influence museums and exhibitions globally.”

The museum is aiming for Body Worlds Decoded to become Northern California’s premiere public anatomy lab as well as an AR testbed, where educators and doctors will be able to bring students and patients to broaden their understanding of the human anatomy and its functions. The AR industry will also be invited to use the exhibition to prototype advances in software and hardware with the community.

“Body Worlds Decoded is one of the most ambitious and exciting anatomy experiences ever created,” said Tim Ritchie, president and CEO of The Tech Museum of Innovation. “The human body contains so many mysteries, and the implementation of AR and all of its capabilities stands to provide valuable clues in unlocking those secrets and inspiring the next generation of advances in medicine and physiology.”

People of all ages can participate in live demonstrations of Anatomage, a 3D virtual dissection used at the nation’s top medical schools. Augmented reality is, in fact, being increasingly used to guide and train doctors and even surgeons on complex procedures.

You can participate in live demonstrations of Anatomage, a 3D virtual dissection tool
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The exhibit also explores the artistic side of anatomy
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But the exhibit goes even further and – true to the vision of the original Body Worlds shows – also explores the artistic side of anatomy, this time through installations of art inspired by the wonder and mystery of the human body. Pieces by local artist Lauren A. Toomer will be displayed, and visitors will be invited to create their own artwork.

“The human form has intrigued artists throughout history,” said Lisa Incatasciato, Exhibit Content Developer at The Tech. “Despite technology giving us a more accurate look, there’s still something mysterious and inspiring about creating your own visual interpretation of the body. You don’t have to love anatomy to enjoy this exhibit, but we bet you’ll appreciate it before you leave.”

If you would like to find out how to leverage VR/AR/MR in your own project or enterprise, Tech Trends offers Virtual Reality Consultancy support

Alice Bonasio is a VR Consultant and Tech Trends’ Editor in Chief. She also regularly writes for Fast Company, Ars Technica, Quartz, Wired and others. Connect with her on LinkedIn and follow @alicebonasio and @techtrends_tech on Twitter.

The post Augmenting Anatomy appeared first on Tech Trends.

Professor Frances Arnold from Caltech was the winner of the prestigious Millennium Technology Prize awarded by Technology Academy Finland.

At the ceremony in Helsinki I was struck by how the evolutionary approach she pioneered has momentous and far-reaching applications not only in biology and chemistry, but in all areas of research.

“Uncountable organisms are working 24 hours a day, seven days a week to exploit new opportunities and overcome challenges that we put in their path. So the biological world is the most spectacular example of crowdsourcing and problem solving – nature’s been doing that for several billion years,” said Professor Frances Arnold as she was awarded the 2016 Millennium Technology Prize for her work in directed evolution.

The methods she invented are used to mimic the natural selection processes of nature, where random DNA mutations happen constantly as organisms adapt to environmental factors. Through those processes it is possible to generate those mutations so that ones with useful properties can be selected and engineered to fulfil specific needs.

Finland’s President Sauli Niinistö presented Professor Arnold with the award in the form of the “peak” trophy, a beautiful translucent sculpture by a local artist (the Finns are rightfully proud of their design heritage). The biannual award celebrates innovations that improve quality of life for humanity, and previous winners include World Wide Web creator Sir Tim Berners-Lee.

I’ve spent the last 30 years putting evolution into action to solve human problems such as how we might convert abundant renewable resources into the fuels, chemicals, materials, and the things we need in our daily lives.

After spending the last week in Helsinki, I can see why Professor Arnold’s vision appeals to the Finns, who constantly strive towards sustainability and have a deep connection with nature. The idea that we have much to learn from the natural world resonates deeply with the Finnish psyche.

The very best inventor and engineer of all time – and you haven’t yet awarded the prize to this – is nature
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What’s out there hasn’t been written by humans, it’s the result of four billion years of evolution. We’re just learning to hold a pencil in the grander scheme of things, working on the level of a single protein
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This isn’t only about idealism, however.

Although Frances Arnold is clearly passionate about conservation and thoroughly committed to helping reduce the harmful impact that humanity has on the environment, the applications of her technology are imminently practical and unapologetically commercial.

Her innovations are now used in hundreds of companies and laboratories around the world to overhaul costly industrial processes that use fossil materials in the production of fuels, pharmaceuticals, textiles and chemicals.

My entire careers I have been concerned about the damage we are doing to the planet and each other. Science and technology can play a major role in mitigating our negative influences on the environment. Changing behavior is even more important, however. I feel that it is easier when there are good, economically viable alternatives to harmful habits.

The way the process hinges upon iteration will also be familiar to those working in technology, as it’s the cornerstone of how start-ups in the sector innovate. If you think about it, the “fail fast, learn, adapt, repeat” process that feeds those business ecosystems is intrinsically evolutionary.

“Evolution is the true innovation machine,” says Professor Arnold, explaining that nature’s design works like a powerful algorithm that can scale from molecules to entire eco-systems. From this seemingly chaotic primordial soup come elegant solutions to every conceivable problem, from energy, water, food, environment, and medicine.

As the Jeff Goldblum line in Jurassic Park goes, “life… uh… finds a way.”

Another of the most interesting things that this award highlights is the fact that science does not happen in a vacuum and it’s important to address global issues in a holistic and interdisciplinary way.

Significantly, when Arnold first embarked in her career in the 1970s, there was no such thing as a biochemical engineer. She has since gone on to be the first woman to be elected to all three US National academies – The National Academy of Sciences, The National Academy of Engineering, and the Institute of Medicine.

Frances Arnold's innovations are used in hundreds of companies and laboratories around the world to overhaul costly industrial processes that use fossil materials in the production of fuels and chemicals
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To girls looking to follow in her footsteps, her message is clear: If you don’t see the space where you’d like to work, go ahead and create it.

When asked whether she thought her achievement would inspire a new generation of women to pursue STEM careers, she replied “I hope so, we need all the brains we can get if we’re to solve all these problems, and this prize will highlight the fact that yes, women can do this, they can do it well, and that they can make a contribution to the world and be recognized for it.”

To girls looking to follow in her footsteps, her message is clear: If you don’t see the space where you’d like to work, go ahead and create it
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In recalling her own experience of choosing a career in science, she paid tribute to her father – nuclear physicist William Howard Arnold, who passed away last year – for encouraging her to become an engineer ‘so she’d always have a job.’ “He was right, I’ve always had a job, and I still have the best job,” she said.

Whenever I see a problem I feel compelled to use my creativity to solve it. Imagine if we got to the point where we could replace the chemical industry with natural processes. This prize is recognition of the fact that this is not just a dream.

Read the  article on The Next Web site

How evolution is the perfect algorithm https://t.co/1xj9dy3PaH pic.twitter.com/hSnXp2tjfc

— The Next Web (@TheNextWeb) May 31, 2016

Alice Bonasio is a VR Consultant and Tech Trends’ Editor in Chief. She also regularly writes for Fast Company, Ars Technica, Quartz, Wired and others. Connect with her on LinkedIn and follow @alicebonasio and @techtrends_tech on Twitter.

The post Evolving Science and Tech appeared first on Tech Trends.

Making the huge volume of data out there useful to humans is about contextualizing it, but if Facebook has taught us anything is that this must be done responsibly.

Back in 2012 Forbes Magazine declared that data was “the new oil,” and nobody these days disputes the fact that there is a ridiculously large amount of useful data available out there. The use of HTTP as an access method and semantic web languages as interchange formats have turned the Web into the largest decentralised database the world has ever seen. The problem we face, however, is that there are major issues around reliability, accessibility and socialisation of that data that stop it from being as universally useful as it could be.

There are challenges in extracting scientific data from PDFs
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It was Tim Berners-Lee who once said that the next evolution of the World Wide Web – or Web 3.0 if you prefer – would be about the “Giant Global Graph”. What he was talking about was Big Data, but in a social dynamic context which people can easily access and take advantage of. In the words of Gerhard Weikum, Research Director at the Max Planck Institute for Computer Science, nearly all experimental “Big Data” is “utterly boring,” with evaluations ending up in “completely synthetic data with a synthetic workload that has been beaten to death for the last twenty years”. To make this data “interesting”, what he proposes is to bring Big Data and Open Data together, creating Linked Open Data.

Major administrative authorities already publish their statistical data in a Linked Data aware format, but the actual value of these datasets is not unleashed or fully exploited, because data needs context to be of value, and “socialising” is what provides such context. One example of this is the Digital Agenda EU Portal, which has a huge number of datasets on important European indicators, but does not allow people to share their findings or to discuss its interpretations. This means that the context, which gives the data most of its meaning, is simply missing.

As a researcher, you tend to spend most of your time trying to make sense of datasets
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That is the problem that a group of EU-funded researchers are trying to tackle, together with industry partners such as London-based research collaboration platform Mendeley. They launched an open beta version of 42-data, a portal that aims- as the name will suggest to any fans of “Hitchhiker’s Guide to the Galaxy” – to provide answers to the universe and everything by socialising statistical data. This is the main output of theCODE project, which has a remit of facilitating “community-driven insight generation” by lifting non-semantic web data silos in an ecosystem around Linked Open Data, bootstrapped by micropayments and trust mechanisms. Their goal is to essentially create a “flea market for research data” by combining crowd sourced workflows with offline statistical data. This would create a Linked Open Data cloud capable of generating customised datasets to backup and answer all manner of research questions.

Scientific articles are obviously the perfect fodder for this cloud database, but they come with a major problem attached: most papers are in PDF format, which means that it’s difficult (not to say impossible) to extract the primary research data contained in tables and figures. The CODE project, which Mendeley participates in, addresses this by reverse-engineering the paper to extract this information in a format that can then be easily processed and analysed.

“We have a long-standing partnership with Mendeley which started with the TEAM-Beam project, and was then extended to CODE,” says Professor Michael Granitzer, from the University of Passau, Germany, the academic partners responsible for the 42-data portal. “The vision with CODE is basically to make the daily lives of researchers a bit easier, and Mendeley is the perfect partner for that, because it already offers so many tools like the group collaboration and the open API. In the scope of the CODE project, we developed and deployed lots of tools to analyse research publications. Most of that analysis consists of information from inside the paper itself, the primary statistical research data such as tables. We enrich this analysis with linked Open Data to generate meaningful insights and broaden a researcher’s view in a user-friendly way, with sophisticated visualisations that can generate interactive charts and other assets for their research,” he explains.

As a researcher, you tend to spend most of your time actually making (or trying to make) sense out of datasets, and this process means that you have less time to come up with interesting insights and advance research in your field. Take, for example, a researcher preparing to write up their paper: Why is the proposed approach better? The hypothesis they’re putting forward must be backed up by meaningful data, so they are faced with the task of extracting and aggregating statistical primary research data that is stored in tables within various research papers, and then combining, comparing and contrasting this with their own evaluation data. Without integrating these workflows, you’d need a plethora of tools, specially since copying and pasting from PDFs does not work for this type of data. Within 42-data, however, Mendeley hosts and pre-processes those papers, using the Know-Center services to extract the information in a format that is easily processed and manipulable.

The platform itself collects that table-based data and the University of Passau uses Mendeley’s API to merge all those single results accordingly, creating a “data cube” of merged and linked data. This data cube presents the researcher with an integrated view of all those disparate data sources. “But that’s not even the end of it, as a data cube can then be enriched with Open Data to offer up even more insights,” concludes Granitzer. The analysis and discovery is thus not limited to the initial dataset, as the platform offers virtually endless possibilities for customised mixing and matching within what 42-data calls “Data Cubes” to address specific research questions and needs. Individual cubes can be interconnected and aggregated using a graphical interface, which guides the user through and warns of any integrity constraint violations, and how these can be solved, by modifying its structure.

This uncovers some exciting possibilities for accelerating scientific discovery; if some of the sensemaking legwork was automated by such portals, we could see the emergence of a virtual meeting place for people interested in getting insights from such Open Data sets, similarly to how Mendeley users interact in groups based around their research interests. “It is a well-known fact that discoveries in academia come out of intense communication processes, and that is what we’re looking to support,” says Florian Stegmaier, Senior Researcher at the University of Passau. “In addition, the social/crowdsourcing aspect of the platform means that we’re going way beyond the text-based model of asking questions, broadening the scope of discussions to include virtually everything. You could assess the suitability of your research ideas based on existing data, ask for statistics to be included in a paper, or simply discuss a range of published papers to get an in-depth view of the subject,” he enthuses.

But analysing, integrating and sharing data comes with associated costs, as does running such a portal. Beyond the initial EU Seventh Framework Programme grant, how does 42-data actually propose to fund itself? “It’s crucial to establish a value chain for data that creates a positive benefit-to-cost ratio, and we are doing that through two main mechanisms: Reputation and Donations,” Michael Granitzer explains. Reputation is certainly the core motivation driver in the crowdsourcing ecosystem, as we’ve seen withStackExchange and Github, amongst many other high-profile examples. They set out to provide a similar proposition, where users contribute to open-source data projects, analysing data sets and creating interesting insights.

In order for this reputation model to work within the Web of Data you need to establish provenance. This means there is a solid chain of data, which tells you the origin or source of every individual piece of information within that chain. That includes records about which individuals were involved in creating, changing or extracting the data at any given point in time. If a particular person generates a data cube with their query, their ID is stored in that cube to guarantee this reproducible mapping (in the case of data extracted from a paper hosted on Mendeley, the metadata referring to the author name, abstract, publication date, academic status, discipline, research interests, etc. is automatically extracted and linked to the cube). The plan as the platform develops is to triangulate this information with community ratings and recommendation algorithms to produce a “user trust score” that will further feed the reputational ecosystem.

What we see with data today is a similar situation to what we had in the era prior to Web 2.0
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Donations also provide monetary incentives, in the community-driven financing model that Wikipedia pioneered. A “revenue chain” is created by allowing people to donate to users, questions, answers or resources that they find particularly helpful. The idea is to explore the long tail of micro-payments by keeping it flexible. You can target your donation to a specific user, or if it’s a collaborative effort, this can be sent to multiple targets, with user’s trust and reputation scores on the site also influencing how well they do out of those transactions, which is hoped will foster a stronger and more cooperative community. “The complete ecosystem is driven by trust and reputation mechanisms. The higher the trust is, the more likely one will donate for something,” says Granitzer.

What we see with data today is a similar situation to what we had in the era prior to Web 2.0, where there was a lot of content around, but socialisation over that content was not enabled. Just as we’ve seen with the social media boom of recent years, however, there is now an opportunity and appetite for creating communities of interest around the socialisation of data. Through exploring Linked Open Data, users should be empowered to aggregate and integrate interesting data, quickly tailoring it to their specific research needs. That is, however, just the first step, as this increased socialisation could make these datasets accessible to non-scientists as well. The growing momentum of the Citizen Science movement goes to show the enormous potential of opening up science in this way, and the possibilities that this opens up are truly amazing.

Exploring Linked Open Data, users could aggregate interesting data and tailor it to their specific research needs
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Originally published in the Huffington Post

Alice Bonasio is a VR Consultant and Tech Trends’ Editor in Chief. She also regularly writes for Fast Company, Ars Technica, Quartz, Wired and others. Connect with her on LinkedIn and follow @alicebonasio and @techtrends_tech on Twitter.

The post Making Big Data More Social appeared first on Tech Trends.

Academia.edu was founded in 2008 with the mission of making knowledge more accessible and fostering discussion amongst scholars.

10 years later the platform hosts over 12 million Open Access papers and has a global community of more than 35 million registered users.

There are a lot of different types of academic output, but there’s no real incentive to share those
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Last week we stopped by their offices in San Francisco to talk to CEO and Founder Richard Price about what’s next for them, and where they see the future of academic research and education going.

“We eventually want to see all research being made freely available,” says Price. That’s an estimated 65 million papers, so he admits there’s still a way to go. The other part of his mission is to foster meaningful discussions around those papers.

Many people don’t actually read the papers they cite, so citations are not always an accurate measure of impact
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The challenge for academic social networks such as Academia.edu and its main competitors — ResearchGate and Mendeley — has always been to foster these broader conversations outside the pre-existing boundaries of departments and institutions. Academia tends to be insular and scholars are justifiably protective of their research, which can hinder openness and collaboration. Arguably, however, the next generation of researchers, having grown up in a world of social media and pervasive sharing, will find this much more natural.

The next generation of researchers growing up with social media might find sharing much more natural
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One of the features they are piloting to encourage these exchanges is called Sessions, where users can upload a draft version of their paper and invite others to discuss it within a closed group for a period of 20 days. There are about 6000 sessions happening at any one time within the site, some with as many as 1000 members (although the average group size is around 50).

“The other tool we’ve developed allows a subset of authoritative users to review papers and recommend them as valid contributions to their field of research. “Currently this is limited to a very small group of users (less than .1%), who must have a PhD and have been published, plus have experience of the peer-review process, but we are looking at expanding that pool.”

The measure of importance of an academic paper is usually tied to the number of times it gets cited, the so-called “Impact Factor”, yet price believes that platforms such as Academia.edu will allow for more granular assessment of the real-world impact that research has. It’s a complex matter, because even citations can fail to give you an accurate picture of the credibility of a particular paper, as many people don’t actually read the papers they cite.

“We need to get a lot better at asking — and answering — the question of what do academics actually think about this paper,” says Price. “I’m a huge believer in Altmetrics, and think the new measures of impact such as Author Rank and Paper Rank will become a lot more important in years to come.”

Part of that means moving beyond the PDF as the standard unit of scholarly output. There are a lot of different types of files that get produced, such as data-sets, code, blog posts, etc. Yet there is no real incentive for sharing these As we move beyond the impact factor we will get a lot more granularity and that will help paint a bigger and more accurate picture of what knowledge is relevant and credible, and to better connect people with the knowledge they need.

We don’t know how big the market is, because academic papers haven’t been openly accessible before
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The company so far raised around $17 Million and is working on ways to monetize some of its features while keeping the core platform and its content free. Yet the size of its potential user-base is actually hard to estimate, since its appeal extends beyond the traditional scholarly community.

“Only about half of our users are academics per se. The rest are teachers, diplomats, accountants, lawyers… We have investment bankers and African farmers coming to the site for the most diverse reasons, it’s really for anybody with an interest in academic research, and we don’t know how big that market is, because papers haven’t been Open Access on this scale before.”

Some of the specific use cases he mentions include a teacher using papers to support an argument for adopting a different methodology in the classroom, or a farmer looking at increasing their yield by learning about new variety of maize. And he shows me a quote that illustrates what impact this access to knowledge can have in people’s lives:

“May Allah bless you as long as the East Wind blows and shakes the branches in the distant meadows,” reads the lyric message from a grateful user in Singapore. “What you have created in academia.edu is arguably the best tool for scholars and academics. I pray to God that he provides you with all the wealth and knowledge necessary for you to keep doing what you are doing. A thousand thanks and gratitude.”

In a few years, Price hopes that all new papers published will be open and freely available so that anyone with an Internet connection can read them.

“When I was at school I only used the occasional basic AltaVista search, but in future I see a world where a kid in China interested in lithium ion batteries can find the latest research published on that subject, read it on her mobile translated automatically into Mandarin, and be able to see which of those papers are ranked as most relevant by people respected in that field, so that she instantly knows what’s most relevant to her. That’s what I want Academia.edu to make possible.”

In a few years, Price hopes that all new papers published will be open and freely available so that anyone with an Internet connection can read them
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Alice Bonasio is a VR Consultant and Tech Trends’ Editor in Chief. She also regularly writes for Fast Company, Ars Technica, Quartz, Wired and others. Connect with her on LinkedIn and follow @alicebonasio and @techtrends_tech on Twitter.

The post Sharing Knowledge Beyond the Ivory Tower appeared first on Tech Trends.

The BBC Micro:bit launched as a tool to tackle the so-called digital skills gap, where most of us depend upon technology, but not enough learn about what is required to build and maintain the digital economy.

Products like the Raspberry Pi, Arduino and Micro:bit are proving to be effective platforms through which teachers can engage students with technology and teach them these skills in a practical, fun way.

10,000 teams from England, Scotland and Wales to be sponsored in national competition
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This week saw the launch of the Race for the Line competition created by Microsoft in partnership with Bloodhound Education, an initiative looking to inspire the next generation of scientists and engineers. Secondary school pupils aged 11-16 will be able to build their own model rocket cars using BBC Micro:bit kits, and teachers can access resources to help them leverage the competition activities in other areas of the school curriculum.

The cars themselves will be made of foam and powered by a small solid fuel engine, and students will use the Micro:bit to collect and analyse data about the car’s performance, making adjustments and modifications to optimise performance and make it go as fast as possible. At this point, I’m probably not the only one wishing they were young enough to take part… they had me at “rocket”.

The 3 fastest teams will not only receive cash prizes for their schools, but also have their names included in the tail fin of the full-size rocket car being developed by the project: The Bloodhound SSC, which aims to go faster than the speed of sound, covering a mile in 3.6 seconds.

Schools registering before April 29^th 2016 will be eligible for the free race car kits, and finals will take place in June. Visit the Bloodhound Project website for more information and to register online.

The post UK Schools Can Get Free BBC Micro:bit Rocket Car Kits appeared first on Tech Trends.